Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...

If you build engines, tune cars, or even just like mashing your foot on the throttle with conviction, you’ve probably heard the term “wideband O2 sensor” being thrown around at the track, dyno ...

We may receive a commission on purchases made from links. While it may seem intimidating at first, there are plenty of easy DIY auto maintenance projects that even the most novice DIY-er can handle.

Every new piece of technology reveals something new and interesting about the golf swing. When it comes to grip pressure—meaning, how hard you should squeeze the grip while you swing—we started with ...

We may receive a commission on purchases made from links. Modern cars are designed to be more efficient and eco-friendly than ever. Automakers build vehicles with a wealth of advanced features to not ...

O2 sensors and air-fuel ratio sensors are essential for controlling emissions and ensuring efficient engine operation. These sensors provide critical data to the ECU for optimizing air-fuel mixtures ...

I have had the idea for this article at least as long as I’ve known Nico Henke, a German-based collector who we can rightly call an expert on all things related to Enicar chronographs. It’s time to ...

Abstract: In recent years, research based on Graph Neural Network (GNN) has made significant progress in the field of rotating machinery fault diagnosis. Current methods usually only rely on data from ...

As a vital component of a vehicle’s emissions control system, oxygen sensors play a crucial role in engine performance and fuel efficiency. But what’s the typical cost to replace a failed O2 sensor?

I've noticed that the room sensor temperatures are consistently lower (by a few degrees) than the plotted temperatures in the sensor detail graph: Seems like the sensors with the higher temps are the ...